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Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model

Author

Listed:
  • Lukas Wienholt

    (Centre for Sustainable Energy Systems, Europa Universität Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany)

  • Ulf Philipp Müller

    (Centre for Sustainable Energy Systems, Flensburg University of Applied Sciences, Kanzleistraße 91–93, 24943 Flensburg, Germany)

  • Julian Bartels

    (DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Straße 15, 26129 Oldenburg, Germany)

Abstract

The paradigm shift of large power systems to renewable and decentralized generation raises the question of future transmission and flexibility requirements. In this work, the German power system is brought to focus through a power transmission grid model in a high spatial resolution considering the high voltage (110 kV) level. The fundamental questions of location, type, and size of future storage units are addressed through a linear optimal power flow using today’s power grid capacities and a generation portfolio allowing a 66% generation share of renewable energy. The results of the optimization indicate that for reaching a renewable energy generation share of 53% with this set-up, a few central storage units with a relatively low overall additional storage capacity of around 1.6 GW are required. By adding a constraint of achieving a renewable generation share of at least 66%, storage capacities increase to almost eight times the original capacity. A comparison with the German grid development plan, which provided the basis for the power generation data, showed that despite the non-consideration of transmission grid extension, moderate additional storage capacities lead to a feasible power system. However, the achievement of a comparable renewable generation share provokes a significant investment in additional storage capacities.

Suggested Citation

  • Lukas Wienholt & Ulf Philipp Müller & Julian Bartels, 2018. "Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model," Energies, MDPI, vol. 11(12), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3365-:d:187003
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    References listed on IDEAS

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    Cited by:

    1. Wilko Heitkoetter & Wided Medjroubi & Thomas Vogt & Carsten Agert, 2022. "Economic Assessment of Demand Response Using Coupled National and Regional Optimisation Models," Energies, MDPI, vol. 15(22), pages 1-25, November.
    2. Ulf Philipp Müller & Birgit Schachler & Malte Scharf & Wolf-Dieter Bunke & Stephan Günther & Julian Bartels & Guido Pleßmann, 2019. "Integrated Techno-Economic Power System Planning of Transmission and Distribution Grids," Energies, MDPI, vol. 12(11), pages 1-30, May.
    3. Wilko Heitkoetter & Wided Medjroubi & Thomas Vogt & Carsten Agert, 2019. "Comparison of Open Source Power Grid Models—Combining a Mathematical, Visual and Electrical Analysis in an Open Source Tool," Energies, MDPI, vol. 12(24), pages 1-15, December.
    4. Gracita Batista Rosas & Elizete Maria Lourenço & Djalma Mosqueira Falcão & Thelma Solange Piazza Fernandes, 2019. "An Expeditious Methodology to Assess the Effects of Intermittent Generation on Power Systems," Energies, MDPI, vol. 12(6), pages 1-18, March.

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